Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach

• URL: http://arxiv.org/abs/2510.23384v1
• Date: Mon, 27 Oct 2025 14:35:20 GMT
• Title: Opinion Mining Based Entity Ranking using Fuzzy Logic Algorithmic Approach
• Authors: Pratik N. Kalamkar, A. G. Phakatkar,
• Abstract summary: opinion mining aims to extract attributes and components of the object that have been commented on in each statement.<n> Fuzzy logic reasoning is used to rank entities based on their opinions.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Opinions are central to almost all human activities and are key influencers of our behaviors. In current times due to growth of social networking website and increase in number of e-commerce site huge amount of opinions are now available on web. Given a set of evaluative statements that contain opinions (or sentiments) about an Entity, opinion mining aims to extract attributes and components of the object that have been commented on in each statement and to determine whether the comments are positive, negative or neutral. While lot of research recently has been done in field of opinion mining and some of it dealing with ranking of entities based on review or opinion set, classifying opinions into finer granularity level and then ranking entities has never been done before. In this paper method for opinion mining from statements at a deeper level of granularity is proposed. This is done by using fuzzy logic reasoning, after which entities are ranked as per this information.

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